Custom LLM Pipeline & AI Agent Development in Python
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About this Gig
I build custom LLM pipelines and AI agents tailored to your business needs using Python. What I deliver: - Single-purpose LLM pipelines (summarization, classification, extraction) - Multi-step AI agents with tool calling and RAG (Retrieval-Augmented Generation) - Full agentic systems with memory, multi-agent orchestration, and Telegram/Slack integration - Support for GPT-5.5, Claude Opus 4.8 / Sonnet 4.6, Gemini 3.5 Flash, and open-source models (Gemma 4, DeepSeek v4) - Clean, documented code with deployment-ready setup Use cases: document Q&A bots, data extraction agents, customer support automation, research assistants, and more.
Requirements
Please describe your use case, preferred LLM (GPT-5.5 / Claude Opus 4.8 / Gemini 3.5 Flash / open-source), any existing data sources or APIs to integrate, and expected output format.
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